Unsupervised Model Selection for Time-series Anomaly Detection.
Mononito GoswamiCristian ChalluLaurent CallotLenon MinoricsAndrey KanPublished in: CoRR (2022)
Keyphrases
- model selection
- anomaly detection
- unsupervised learning
- unsupervised anomaly detection
- detect anomalies
- intrusion detection
- cross validation
- detecting anomalies
- hyperparameters
- anomalous behavior
- network intrusion detection
- mixture model
- statistical learning
- network traffic
- feature selection
- information criterion
- machine learning
- bayesian learning
- selection criterion
- negative selection algorithm
- one class support vector machines
- intrusion detection system
- gaussian process
- self organizing maps
- marginal likelihood
- network anomaly detection
- semi supervised
- training data
- model selection criteria
- bayesian information criterion
- computer vision